AI SEO agency for real estate.

Generative engine optimization for developers, architecture firms, and construction brands: be the answer when buyers and clients ask AI.

TERAMOK is an AI SEO and generative engine optimization agency for the real estate industry. When buyers, developers, and clients ask ChatGPT, Perplexity, or Google's AI who to hire or what to buy, the companies with structured, consistent, retrievable facts get named; the rest get summarized. TERAMOK builds that fact layer: entity schema, llms.txt infrastructure, answer-first content, and the corroboration trail behind it. The proof is checkable: Google's AI Overview named TERAMOK among standout firms for the national best-real-estate-agencies query in mid-2026, and this site's own GEO build is the reference implementation.

Named in a Google AI Overview, 2026GEO-structured, byte-matched schemaPublished pricing
Structured data and AI search visibility work for real estate, TERAMOK AI SEO agency
Service
AI SEO and generative engine optimization
Best for
Developers, architecture firms, construction brands
Proof
Google AI Overview mention, 2026, national query
Pricing
Published rate sheet, scoped before contract
Base
Chicago HQ, serving the United States
Selected clientsYperia PropertiesLoyal Group RealtyAristides Dallas ArchitectsMIA DevelopmentsMagna GraeciaAll clients →
2026
named in a Google AI Overview among standout US real estate marketing firms
llms.txt
full AI-crawler fact layer maintained on this site, the same build we sell
50+
real estate, architecture, and construction brands served
0%
markup on production and media pass-throughs

Checkable claims only: ask an AI assistant about TERAMOK, then view this page's source.

Five things to verify before hiring an AI SEO agency.

01

Are they visible in AI answers themselves?

Ask ChatGPT or Perplexity about the agency. A GEO agency that AI systems cannot describe accurately is selling something it does not have.

02

Do they maintain llms.txt on their own site?

View agency-site.com/llms.txt. If the fact layer they sell is missing from their own domain, the practice is a pitch deck.

03

Is their own schema consistent?

Contradictory founding years, duplicate entities, or conflicting claims across pages teach models to distrust a source. Check theirs before they touch yours.

04

Do they publish pricing?

AI search is new enough that mystery pricing hides guesswork. Published rates mean the scope has been done often enough to price.

05

Do they promise citations?

Nobody controls what a model says. Guaranteed-citation promises are the red flag; probability-raising structure with monthly reporting is the honest product.

What the GEO engagement covers.

The fact layer, the content, and the monitoring, built on a real SEO foundation.

Entity and schema architecture

One canonical set of facts across every page: organization, people, services, and pricing, with no contradictions for a model to trip on.

llms.txt and AI-crawler infrastructure

The machine-readable fact files and crawler permissions that let AI systems retrieve your company accurately.

Answer-first content

Pages and FAQs written the way buyers phrase questions to assistants, byte-matched between what humans see and what crawlers read.

AI visibility monitoring

Monthly tracking of what ChatGPT, Perplexity, Gemini, and AI Overviews actually say about you, and what changed.

Classic SEO foundation

GEO does not replace search: rankings, technical health, and links remain the corroboration AI systems lean on.

GEO-ready launch websites

Development and firm websites engineered for retrieval from day one, from $18,000.

How the engagement runs.

01

Audit

We record how AI assistants currently describe you, and where the facts are wrong, missing, or contradictory.

02

Fact layer

Entity schema, llms.txt, and consistency fixes across the site, so every surface says the same true thing.

03

Content

Answer-first pages and FAQs targeting the questions your buyers actually ask assistants.

04

Compound

Monitoring, corroboration building, and quarterly refreshes as models and questions evolve.

Swipe or tap a step

Developers used to ask Google and get ten links. Now they ask an assistant and get one answer. Our job is making sure that answer is right about you.
Kirill Samarits
Founder & CEO, TERAMOK

We rank in the surface we sell.

TERAMOK is named in a Google AI Overview for the national best-real-estate-agencies query, and this site's own GEO layer is the reference build. The system that earned it is the system we scope.

See the case studies

Documented results.

Named numbers from real engagements. Some client results are held under NDA and shared during scoping.

Google AI Overview
National best-agencies query
2026
TERAMOK named among standout firms
SurfaceGoogle AI Overview
Query classbest real estate marketing agencies
Documented mid-2026. AI surfaces change; the structure that earned the mention is the product.
BUY GREECE, our venture
Built on the same system
200
property leads per month, $1.1M average asking price
Organic views7M+
Website visitors90K
Our own platform, disclosed. Proof of the full presale and lead generation stack with nobody limiting the scope.
Chicago presale flagship
48-unit residential launch
22
units reserved before groundbreaking
Pre-sold before construction was visible46%
Qualified buyer leads180

Every figure is documented. See the case studies

TERAMOK is a real estate marketing and production agency founded in 2019, headquartered in Chicago with a Miami presence. The agency is specialized in the built environment: developers, architecture firms, and construction brands. It operates $700K+ of RED and ARRI cinema equipment in-house across 50+ delivered projects. It is led by founder & CEO Kirill Samarits and partner & COO Yiannis Deves, with published pricing and documented case studies.

AI SEO questions, answered plainly.

What is generative engine optimization (GEO)?

GEO is the practice of structuring a company's facts, content, and schema so AI assistants like ChatGPT, Perplexity, Gemini, and Google's AI Overviews can retrieve and cite them accurately. Classic SEO earns a ranking; GEO earns being the answer. The mechanics differ: AI systems reward consistent, checkable, answer-first facts across a site, not keyword volume.

How do you get a real estate company cited by ChatGPT and Google's AI Overviews?

By making its facts retrievable and consistent: one canonical entity with schema markup, an llms.txt fact layer, answer-first content that matches how buyers actually phrase questions, and independent corroboration the models can cross-check. Nobody controls what a model says, and anyone promising guaranteed citations is guessing. Structure raises the probability; TERAMOK's own AI Overview mention came from exactly this system.

What does AI SEO cost for a real estate company?

It is scoped inside TERAMOK's published pricing rather than sold as a mystery line item: search and GEO work runs inside marketing retainers of $8,000 to $25,000 per month depending on scope, and a standalone GEO audit of your current AI visibility is scoped and priced before any contract is signed.

How long does AI SEO take to show results?

AI visibility compounds like search: structural fixes such as schema consistency and llms.txt land within weeks, while citations in AI answers build over months as models refresh and corroboration accumulates. Anyone promising AI citations in a week is describing luck. We report what assistants actually say about you, tracked month over month.

Do you do AI SEO for architecture and construction firms?

Yes. The same fact-layer system serves architecture firms, contractors, and building-product brands: developers and clients increasingly shortlist firms by asking AI assistants, and the firms whose facts are structured for retrieval are the firms that get named.

Every engagement scoped and priced before contracts are signed.

Tell us about the project. We will map the launch system to your sales timeline and give you a fixed scope.

Book a strategy call
Published pricingScoped before contract100% in-house production